Principal AI & Data Engineer

Hybrid in London·Added 3 days ago (last checked 26 Oct)

EPAM

126 open roles

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Our summary

Work mode: Hybrid, London
Experience: 8+ years
Commute: Cycle to work and season ticket loan

Skills

Requirements

What we're looking for

Bachelor's or Master's degree in Statistics, Mathematics, Econometrics, Computer Science or a related field
8+ years of experience delivering data engineering, machine learning or AI solutions in enterprise environments
Strong AI Data Engineering expertise with experience building production-grade AI and GenAI systems
Hands-on experience with Azure AI Foundry, Azure cloud services and Databricks AI technologies
Deep understanding of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) solutions
Strong experience with MLflow, GenAI evaluation frameworks and model benchmarking methodologies
Advanced programming skills in Python and SQL with strong knowledge of data modeling and ETL/ELT processes
Solid understanding of Delta Lake, Delta Live Tables, Unity Catalog, Spark Structured Streaming and large-scale data processing
Experience with Azure Data Factory (ADF), Qlik Replicate and modern data architecture practices
Excellent communication, stakeholder management, problem-solving skills and commitment to high-quality delivery

Nice to have

Experience in commodity trading and supply operations, ideally within the energy sector
Experience with Microsoft Copilot Studio, Databricks Mosaic AI, Agent Bricks or Genie
Experience with LangGraph, AutoGen or other agent orchestration frameworks
Familiarity with enterprise AI governance, security and compliance practices
Experience leading technical teams, defining technical strategy and mentoring engineers

Pay & benefits

What you'll get

EPAM Employee Stock Purchase Plan (ESPP)
Protection benefits including life assurance, income protection and critical illness cover
Private medical insurance and dental care
Employee Assistance Program
Competitive group pension plan
Cyclescheme, Techscheme and season ticket loans
Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
Learning and development opportunities including in-house training and coaching, professional certifications, and courses
If otherwise eligible, participation in the discretionary annual bonus program
If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

*All benefits and perks are subject to certain eligibility requirements

The role

We are looking for a Principal AI & Data Engineer to join our team in London, UK in a hybrid working mode. In this role, you will design, build and productionize enterprise-grade AI and GenAI solutions on Azure and Databricks platforms. You will develop scalable AI applications, intelligent agents and data-driven solutions powered by large language models and modern AI frameworks. The role requires hands-on expertise in AI data engineering, cloud technologies and GenAI adoption while driving innovation, reliability and scalability across enterprise environments.

What you'll do

Develop and evaluate AI, GenAI and Agentic AI solutions using enterprise AI platforms and frameworks
Build and optimize Retrieval-Augmented Generation (RAG) applications, including embedding strategies, prompt engineering and evaluation processes
Design, develop and deploy AI agents using frameworks such as LangChain, LangGraph, AutoGen and similar technologies
Create scalable AI workflows using Databricks, MLflow, Azure AI Foundry and cloud-native services
Build and maintain robust data pipelines using modern data engineering practices and streaming technologies
Deploy AI applications and services using Azure OpenAI, Azure AI Foundry, Databricks AI tools and Docker
Design and execute evaluation frameworks to measure model quality, accuracy, reliability and reproducibility
Implement CI/CD pipelines, testing frameworks, code quality controls and GitHub-based development processes
Collaborate with stakeholders to translate business requirements into scalable AI solutions
Contribute to architecture decisions, technical roadmaps and backlog definition while supporting delivery from prototype to production

Hiring process

3 steps3 interviews

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Conversation with Talent Acquisition
With a Talent Acquisition Specialist
An introductory conversation with a Talent Acquisition Specialist.
Technical interview
Video call
An online technical interview.
Interview with the hiring manager
With a hiring manager
A general interview with the hiring manager.
Offer